502 search results - page 15 / 101 » Learning from General Label Constraints |
COLT
2004
Springer
15 years 3 months ago
2004
Springer
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
CIKM
2011
Springer
13 years 9 months ago
2011
Springer
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
This paper deals with estimation of dense optical flow
and ego-motion in a generalized imaging system by exploiting
probabilistic linear subspace constraints on the flow.
We dea...
FLAIRS
2004
14 years 11 months ago
2004
In our prior work, we introduced a generalization of the multiple-instance learning (MIL) model in which a bag's label is not based on a single instance's proximity to a...
NIPS
2007
14 years 11 months ago
2007
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...